Introducing Streamhouse: the open data architecture for AI | Learn More
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
Learn how to migrate to Confluent Cloud in hours using Confluent’s open source Kafka Copy Paste tool. Get an in-depth introduction to the KCP tool and a walk-through of the four steps of migrating from MSK to Confluent Cloud using the tool.
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
Confluent Cloud supports Schema Registry as a fully managed service that allows you to easily manage schemas used across topics, with Apache Kafka® as a central nervous system that connects […]
Earning customer love is a core value at Confluent, and like all relationships, listening makes the love flourish. When it comes to monitoring, we’ve heard you, and we are pleased […]
A few weeks ago when we talked about our new fundraising, we also announced we’d be kicking off Project Metamorphosis. What is Project Metamorphosis? Let me try to explain. I […]
Measuring coverage of Go code is an easy task with the built-in go test tool, but for tests that run a binary, like end-to-end tests, there’s no obvious way to […]
When Confluent Schema Registry was first introduced, Apache Avro™ was initially chosen as the default format. While Avro has worked well for many users, over the years, we’ve received many […]
We are pleased to announce the release of Confluent Platform 5.5. With this release, Confluent makes event streaming more broadly accessible to developers of all backgrounds, enhancing three categories of […]
Confluent Hub launched in 2018 as a place to discover and share Apache Kafka® and Confluent Platform plugins. Users have found the site a much better place to discover useful […]
Today, we are excited to announce that after a highly productive period of being in private preview, Confluent Cloud KSQL is now production ready and available to all Confluent Cloud […]
Running fully managed Apache Kafka® as a service brings many responsibilities that leading cloud providers hide well. There is a reason why cloud services are so popular right now— companies realize […]
In July 2017, Confluent launched a private preview of what would later be known as Confluent Cloud. This platform as a service product has grown rapidly; less than three years […]
As enterprises move more and more of their applications to the cloud, they are also moving their on-prem ETL pipelines to the cloud, as well as building new ones. There […]
Single-cluster deployments of Apache Kafka® are rare. Most medium to large deployments employ more than one Kafka cluster, and even the smallest use cases include development, testing, and production clusters. […]
When building API-driven web applications, there is one key metric that engineering teams should minimize: the blocked factor. The blocked factor measures how much time developers spend in the following […]
We just released Confluent Platform 5.4, which is one of our most important releases to date in terms of the features we’ve delivered to help enterprises take Apache Kafka® and […]